Demo Data from SIGIR 2026 / reviewers in the wild / expert
John En
dblp:84/526
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1979
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
2 papers |
Coding theory · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
error-correcting codes |
0.0 | 2 | 1979 | Autor's Reply · IEEE Trans. Computers 1979 A New Random-Error-Correction Code · IEEE Trans. Computers 1977 |
Coding theory › error-correcting codes › convolutional codes › error propagation
catastrophic error propagation |
0.0 | 1 | 1979 | Autor's Reply · IEEE Trans. Computers 1979 |
Coding theory › error-correcting codes › decoding
majority-logic decoding |
0.0 | 1 | 1977 | A New Random-Error-Correction Code · IEEE Trans. Computers 1977 |
Coding theory › error-correcting codes
decoding |
0.0 | 1 | 1979 | Autor's Reply · IEEE Trans. Computers 1979 |
Coding theory › error-correcting codes › decoding › decoding algorithms
threshold decoding |
0.0 | 1 | 1979 | Autor's Reply · IEEE Trans. Computers 1979 |
Coding theory › error-correcting codes › cyclic codes
BCH codes |
0.0 | 1 | 1977 | A New Random-Error-Correction Code · IEEE Trans. Computers 1977 |
Methods — techniques the papers use, named apart from their topics
majority-logic decoding · 0.0error propagation analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1979 | Autor's ReplyabstractWithout proof Paaske3states that "... En1cannot be true." Paaske's statement is based on his qualitative assumption that channel error is "much more likely" to occur than a hardware error in the decoder. The author will show that En's statements are still true under Paaske's assumption. Previous correspondence was cited by Paaske and claimed to be "the best way..." to judge a code based "on the particular channel" and 40 000 test pattern bits. Hence, he claims that the system II and the Massey code outperform the En code. However, the En code can outperform both system II and the Massey code under other channel characteristics and other sets of test bits. Therefore, the method quoted by Paaske is inconclusive at best. Massey's Threshold Decoding is a significant contribution. Regardless of his original assumption, his particular decoder does propagate infinite errors However, this should not be considered as criticizing Massey's work. The En code has been proved empiricafly to be free from catastrophic errors under any error sources. Since Paaske did not prove anything to the contrary, all of En's original claims stand as before. John En |
IEEE Trans. Computers | 1 |
| 1977 | A New Random-Error-Correction CodeabstractA new random-error-correction code presented here is one of the most efficient two-error-correction codes. The new code can correct 2-bit random errors within twelve (12) consecutive bits while (15,7) BCH code [1] corrects two errors within fifteen (15) bits and Hagelbarger's code [2] corrects two errors within fourteen (14) bits. Although Peterson and Weldon's double-error-correcting (12,6) code [1] and Massey's two-error-correcting convolutional code [3] also correct two errors within twelve (12) bits, both codes propagate errors. The (12,6) Viterbi code [1], [4] corrects two errors and uses a Viterbi decoder, while the new code is decodable with a one-step majority logic. Error propagation in the feedback majority logic decoder is discussed, and it is proved empirically that the new code presented here does not propagate errors. John En |
IEEE Trans. Computers | 1 |