John Kececioglu
Impact in
- Artificial Intelligence top 2%
- Algorithms and Data Compression
- Genetics top 5%
- Genome Rearrangement Algorithms
Papers in
-
- Genomics and Phylogenetic Studies 38
- Glycosylation and Glycoproteins Research 7
- Machine Learning in Bioinformatics 7
- DNA and Biological Computing 6
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 5
-
- Algorithms and Data Compression 33
- Co-authors
- David Sankoff (3 shared papers)David J. Lipman (1 shared paper)Stephen F. Altschul (1 shared paper)Travis J. Wheeler (5 shared papers)Eugene W. Myers (1 shared paper)Alejandro A. Schäffer (2 shared papers)Sandeep K. S. Gupta (2 shared papers)Dan DeBlasio (13 shared papers)
- Journals
- Journal of Computational Biology (6 papers)Bioinformatics (3 papers)Discrete Applied Mathematics (3 papers)Algorithmica (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
John Kececioglu
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 759
- Genetics 573
- Molecular Biology 1.4k
- Signal Processing 145
- Plant Science 282
Countries citing papers authored by John Kececioglu
This map shows the geographic impact of John Kececioglu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Kececioglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kececioglu more than expected).
Fields of papers citing papers by John Kececioglu
This network shows the impact of papers produced by John Kececioglu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Kececioglu. The network helps show where John Kececioglu may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kececioglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 393 | |
| 2 | 1995 | 225 | |
| 3 | 2007 | 199 | |
| 4 | 1995 | 161 | |
| 5 | 1995 | 134 | |
| 6 | 2004 | 111 | |
| 7 | 1994 | 74 | |
| 8 | 2005 | 55 | |
| 9 | 1997 | 49 | |
| 10 | 2005 | 47 | |
| 11 | 2021 | 44 | |
| 12 | 1996 | 44 | |
| 13 | 2000 | 42 | |
| 14 | Exact and approximation algorithms for DNA sequence reconstruction | 1992 | 41 |
| 15 | 2004 | 39 | |
| 16 | 1998 | 35 | |
| 17 | 2006 | 30 | |
| 18 | 1998 | 27 | |
| 19 | 2012 | 21 | |
| 20 | 1997 | 20 |
About John Kececioglu
John Kececioglu is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Information Systems and Management and Computational Theory and Mathematics, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (38 papers), Algorithms and Data Compression (33 papers), Genome Rearrangement Algorithms (16 papers), Glycosylation and Glycoproteins Research (7 papers), Machine Learning in Bioinformatics (7 papers), DNA and Biological Computing (6 papers), Protein Structure and Dynamics (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Artificial Intelligence (759 citations), Genetics (573 citations), Molecular Biology (1.4k citations), Signal Processing (145 citations) and Plant Science (282 citations). John Kececioglu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David Sankoff, David J. Lipman, Stephen F. Altschul, Travis J. Wheeler, Eugene W. Myers, Alejandro A. Schäffer, Sandeep K. S. Gupta, Dan DeBlasio, David Sankoff and Dan Gusfield. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Discrete Applied Mathematics, Algorithmica and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.