Aasish Pappu

48 total papers · 524 total citations
29 papers, 213 citations indexed

About

Aasish Pappu is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Aasish Pappu has authored 29 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Communication. Recurrent topics in Aasish Pappu's work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Speech and dialogue systems (8 papers). Aasish Pappu is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Speech and dialogue systems (8 papers). Aasish Pappu collaborates with scholars based in United States, Netherlands and India. Aasish Pappu's co-authors include Alexander I. Rudnicky, Courtney Napoles, Joel Tetreault, Kapil Thadani, Amanda Stent, Yashar Mehdad, Roi Blanco, Rosie Jones, Ben Carterette and Ann Clifton and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Figshare and Annual Meeting of the Special Interest Group on Discourse and Dialogue.

In The Last Decade

Aasish Pappu

28 papers receiving 193 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aasish Pappu	165	44	31	19	18	29	213
Kiyonori Ohtake	232 1.4×	32 0.7×	50 1.6×	32 1.7×	22 1.2×	32	277
Giovanni Moretti	172 1.0×	37 0.8×	10 0.3×	18 0.9×	26 1.4×	29	244
Rianne Kaptein	169 1.0×	116 2.6×	18 0.6×	15 0.8×	18 1.0×	29	218
Peilin Zhou	144 0.9×	80 1.8×	9 0.3×	14 0.7×	33 1.8×	22	224
Pavel Braslavski	172 1.0×	80 1.8×	12 0.4×	17 0.9×	20 1.1×	43	252
Jan Deriu	223 1.4×	33 0.8×	10 0.3×	15 0.8×	12 0.7×	23	262
Marián Šimko	203 1.2×	76 1.7×	19 0.6×	32 1.7×	9 0.5×	27	292
Liliana Chanona-Hernández	199 1.2×	73 1.7×	10 0.3×	28 1.5×	10 0.6×	16	272
Neelam Mukhtar	242 1.5×	47 1.1×	7 0.2×	18 0.9×	16 0.9×	18	318
Nir Ofek	238 1.4×	44 1.0×	14 0.5×	32 1.7×	17 0.9×	15	306

Countries citing papers authored by Aasish Pappu

Since Specialization

Citations

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

Fields of papers citing papers by Aasish Pappu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aasish Pappu

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

All Works

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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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