J. Fiscus

1.4k total citations · 1 hit paper
11 papers, 901 citations indexed

About

J. Fiscus is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Clinical Psychology. According to data from OpenAlex, J. Fiscus has authored 11 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Clinical Psychology. Recurrent topics in J. Fiscus's work include Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (2 papers) and Natural Language Processing Techniques (2 papers). J. Fiscus is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (2 papers) and Natural Language Processing Techniques (2 papers). J. Fiscus collaborates with scholars based in United States, Australia and United Kingdom. J. Fiscus's co-authors include William M. Fisher, John S. Garofolo, David S. Pallett, Paul Over, T. Robinson, Afzal Godil, Zitong Sheng, Wessel Kraaij, João Magalhães and Georges Quénot and has published in prestigious journals such as Applied Psychology, University of Twente Research Information and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

J. Fiscus

11 papers receiving 735 citations

Hit Papers

A post-processing system to yield reduced word error rate... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Fiscus United States 7 770 473 148 46 25 11 901
John Kominek United States 12 711 0.9× 545 1.2× 139 0.9× 112 2.4× 10 0.4× 29 862
Owen Kimball United States 12 911 1.2× 620 1.3× 131 0.9× 60 1.3× 13 0.5× 39 1.0k
Evandro Gouvêa United States 9 328 0.4× 213 0.5× 86 0.6× 19 0.4× 25 1.0× 17 461
Hank Liao United States 12 687 0.9× 570 1.2× 83 0.6× 37 0.8× 10 0.4× 18 828
John Dines Switzerland 18 755 1.0× 517 1.1× 66 0.4× 87 1.9× 13 0.5× 58 903
Olivier Siohan United States 20 1.1k 1.5× 962 2.0× 126 0.9× 56 1.2× 15 0.6× 74 1.3k
Chai Wutiwiwatchai Thailand 11 360 0.5× 246 0.5× 113 0.8× 76 1.7× 6 0.2× 110 544
Thomas Kemp Germany 13 492 0.6× 330 0.7× 121 0.8× 11 0.2× 11 0.4× 26 641
Roland Kühn Canada 21 2.0k 2.6× 596 1.3× 244 1.6× 46 1.0× 20 0.8× 75 2.1k
Xu Tan China 23 914 1.2× 398 0.8× 400 2.7× 34 0.7× 13 0.5× 61 1.1k

Countries citing papers authored by J. Fiscus

Since Specialization
Citations

This map shows the geographic impact of J. Fiscus'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 J. Fiscus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Fiscus more than expected).

Fields of papers citing papers by J. Fiscus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Fiscus. 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 J. Fiscus. The network helps show where J. Fiscus may publish in the future.

Co-authorship network of co-authors of J. Fiscus

This figure shows the co-authorship network connecting the top 25 collaborators of J. Fiscus. A scholar is included among the top collaborators of J. Fiscus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Fiscus. J. Fiscus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Sheng, Zitong, J. Fiscus, Yimin He, Xiaohong Xu, & Xiang Yao. (2024). Who uses abusive supervision to punish deviant employees? An integration of identity threat and self‐regulation perspectives. Applied Psychology. 74(1). 1 indexed citations
2.
Awad, George, Ian Soboroff, Asad A. Butt, et al.. (2016). TREC video retrieval evaluation TRECVID 2017. University of Twente Research Information. 1 indexed citations
3.
Over, Paul, George Awad, Lori P Buckland, et al.. (2009). TREC video Retrieval evaluation TRECVID 2011 (slides). TNO Repository. 2 indexed citations
4.
Over, Paul, et al.. (2008). TREC video retrieval evaluation TRECVID. TNO Repository. 28 indexed citations
5.
Fiscus, J.. (2004). Results of the fall 2004 STT and MDE evaluation. Medical Entomology and Zoology. 20 indexed citations
6.
Fisher, William M., et al.. (2002). Tools for the analysis of benchmark speech recognition tests. International Conference on Acoustics, Speech, and Signal Processing. 97–100. 75 indexed citations
7.
Fiscus, J.. (2002). A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER). 347–354. 724 indexed citations breakdown →
8.
Garofolo, John S., T. Robinson, & J. Fiscus. (2002). The development of file formats for very large speech corpora: SPHERE and SHORTEN. i. I/113–I/116. 3 indexed citations
9.
Fisher, William M. & J. Fiscus. (1993). Better alignment procedures for speech recognition evaluation. IEEE International Conference on Acoustics Speech and Signal Processing. 59–62 vol.2. 20 indexed citations
10.
Pallett, David S., J. Fiscus, & John S. Garofolo. (1990). DARPA resource management benchmark test results June 1990. 298–305. 20 indexed citations
11.
Pallett, David S., William M. Fisher, J. Fiscus, & John S. Garofolo. (1990). DARPA ATIS test results June 1990. 114–124. 7 indexed citations

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.

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