Push Singh

1.4k total citations
13 papers, 386 citations indexed

About

Push Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Push Singh has authored 13 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Push Singh's work include Semantic Web and Ontologies (7 papers), AI-based Problem Solving and Planning (5 papers) and Topic Modeling (3 papers). Push Singh is often cited by papers focused on Semantic Web and Ontologies (7 papers), AI-based Problem Solving and Planning (5 papers) and Topic Modeling (3 papers). Push Singh collaborates with scholars based in United States. Push Singh's co-authors include Hugo Liu, Barbara Barry, Nathan Eagle, Henry Lieberman, William V. Williams, Alex Pentland, Marvin Minsky, Aaron Sloman, Tanzeem Choudhury and Margaret Minsky and has published in prestigious journals such as Pattern Recognition Letters, AI Magazine and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Push Singh

12 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Push Singh United States	10	264	80	35	31	29	13	386
Peter Gorniak United States	10	263 1.0×	107 1.3×	43 1.2×	18 0.6×	28 1.0×	17	376
Michael Wolverton United States	10	231 0.9×	110 1.4×	65 1.9×	23 0.7×	49 1.7×	20	386
Jimmy Secretan United States	7	224 0.8×	81 1.0×	25 0.7×	35 1.1×	11 0.4×	21	347
A. Jameson Germany	6	197 0.7×	49 0.6×	56 1.6×	22 0.7×	32 1.1×	10	294
Preetam Maloor United States	9	302 1.1×	85 1.1×	65 1.9×	17 0.5×	35 1.2×	14	430
Michael L. Mauldin United States	7	308 1.2×	83 1.0×	88 2.5×	43 1.4×	51 1.8×	18	457
Marlene Jones Canada	5	198 0.8×	41 0.5×	56 1.6×	17 0.5×	22 0.8×	10	293
Nate Blaylock United States	12	298 1.1×	47 0.6×	25 0.7×	31 1.0×	24 0.8×	28	354
Pierre Lison Norway	12	648 2.5×	115 1.4×	47 1.3×	21 0.7×	68 2.3×	35	760
Paraskevi Tzouveli Greece	9	91 0.3×	100 1.3×	40 1.1×	26 0.8×	16 0.6×	29	299

Countries citing papers authored by Push Singh

Since Specialization

Citations

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

Fields of papers citing papers by Push Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Push Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Push Singh. A scholar is included among the top collaborators of Push Singh 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 Push Singh. Push Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Williams, Ryan, Barbara Barry, & Push Singh. (2005). ComicKit. 302–304. 4 indexed citations

2.

Eagle, Nathan & Push Singh. (2004). Context Sensing using Speech and Common Sense. North American Chapter of the Association for Computational Linguistics. 78–84. 2 indexed citations

3.

Minsky, Marvin, Push Singh, & Aaron Sloman. (2004). The St. Thomas common sense symposium: designing architectures for human-level intelligence. AI Magazine. 25(2). 113–124. 40 indexed citations

4.

Lieberman, Henry, Hugo Liu, Push Singh, & Barbara Barry. (2004). Beating Common Sense into Interactive Applications. AI Magazine. 25(4). 63–76. 57 indexed citations

5.

Pentland, Alex, Tanzeem Choudhury, Nathan Eagle, & Push Singh. (2004). Human dynamics: computation for organizations. Pattern Recognition Letters. 26(4). 503–511. 52 indexed citations

6.

Singh, Push & Margaret Minsky. (2004). An architecture for combining ways to think. 47. 669–674. 13 indexed citations

7.

Singh, Push. (2003). Examining the Society of Mind.. Computing and Informatics / Computers and Artificial Intelligence. 22(6). 521–543. 9 indexed citations

8.

Singh, Push & Barbara Barry. (2003). Collecting commonsense experiences. 4 indexed citations

9.

Singh, Push & Barbara Barry. (2003). Collecting commonsense experiences. 154–161. 18 indexed citations

10.

Singh, Push & William V. Williams. (2003). LifeNet: A Propositional Model of Ordinary Human Activity. 27 indexed citations

11.

Eagle, Nathan & Push Singh. (2003). Common Sense Conversations: Understanding Casual Conversation using a Common Sense Database. 18 indexed citations

12.

Liu, Hugo & Push Singh. (2002). Makebelieve: using commonsense knowledge to generate stories. National Conference on Artificial Intelligence. 957–958. 32 indexed citations

13.

Singh, Push. (2002). The Public Acquisition of Commonsense Knowledge. 110 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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