Mahesh Joshi

1.1k total citations
28 papers, 487 citations indexed

About

Mahesh Joshi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mahesh Joshi has authored 28 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Mahesh Joshi's work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (6 papers). Mahesh Joshi is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (6 papers). Mahesh Joshi collaborates with scholars based in United States, India and Australia. Mahesh Joshi's co-authors include Carolyn Penstein Rosé, Yi‐Chia Wang, Ted Pedersen, Rohit Kumar, Allen L. Robinson, Dipanjan Das, Noah A. Smith, Richard Maclin, Serguei Pakhomov and Kevin Gimpel and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Accounting Education.

In The Last Decade

Mahesh Joshi

28 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh Joshi United States 12 334 97 70 57 55 28 487
Suma Bhat United States 15 368 1.1× 60 0.6× 81 1.2× 17 0.3× 110 2.0× 65 549
Darren Pearce United Kingdom 10 529 1.6× 90 0.9× 72 1.0× 52 0.9× 40 0.7× 20 669
Maxim Mozgovoy Japan 12 241 0.7× 79 0.8× 141 2.0× 12 0.2× 65 1.2× 50 464
Bernardo Pereira Nunes Brazil 10 352 1.1× 38 0.4× 181 2.6× 33 0.6× 216 3.9× 74 524
Yuting Zhao China 9 138 0.4× 116 1.2× 61 0.9× 17 0.3× 140 2.5× 31 355
Amal Zouaq Canada 13 359 1.1× 119 1.2× 153 2.2× 43 0.8× 210 3.8× 48 605
Davide Taibi Italy 11 231 0.7× 68 0.7× 185 2.6× 61 1.1× 217 3.9× 92 539
Gregory H. Leazer United States 12 111 0.3× 17 0.2× 197 2.8× 63 1.1× 46 0.8× 31 412
Geraldo Xexéo Brazil 9 78 0.2× 46 0.5× 80 1.1× 12 0.2× 40 0.7× 100 298
John B. Smith United States 12 136 0.4× 56 0.6× 128 1.8× 11 0.2× 24 0.4× 38 442

Countries citing papers authored by Mahesh Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Joshi

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

All Works

20 of 20 papers shown
1.
Joshi, Mahesh, et al.. (2024). Does culture influence the development of personality traits of accounting students at Indian universities?. Accounting Education. 35(2). 257–284. 2 indexed citations
2.
Joshi, Mahesh, Bodhisatwa Mazumdar, & Somnath Dey. (2023). A novel minutiae-oriented approach for partial fingerprint-based MasterPrint mitigation. Pattern Recognition. 145. 109935–109935. 6 indexed citations
3.
Joshi, Mahesh, et al.. (2023). How Blockchain Is Transforming Accounting, Auditing and Finance: A Systematic Review. 535–560. 8 indexed citations
4.
Joshi, Mahesh, Bodhisatwa Mazumdar, & Somnath Dey. (2023). Investigating the impact of thresholding and thinning methods on the performance of partial fingerprint identification systems: a review. Journal of Electronic Imaging. 32(1). 1 indexed citations
5.
Joshi, Mahesh, Bodhisatwa Mazumdar, & Somnath Dey. (2022). Mitigating MasterPrint vulnerability by employing minutiae geometry. Journal of Electronic Imaging. 31(1). 2 indexed citations
6.
Joshi, Mahesh, Bodhisatwa Mazumdar, & Somnath Dey. (2020). A comprehensive security analysis of match-in-database fingerprint biometric system. Pattern Recognition Letters. 138. 247–266. 17 indexed citations
7.
Joshi, Mahesh, et al.. (2015). Distributed Word Representations Improve NER for e-Commerce. 160–167. 15 indexed citations
8.
Pedersen, Ted, et al.. (2011). The Ngram Statistics Package (Text::NSP) : A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations. 131–133. 11 indexed citations
9.
Joshi, Mahesh, et al.. (2010). Proceedings of the NAACL HLT 2010 Student Research Workshop. North American Chapter of the Association for Computational Linguistics. 4 indexed citations
10.
Joshi, Mahesh & Carolyn Penstein Rosé. (2009). Generalizing dependency features for opinion mining. 313–313. 93 indexed citations
11.
Chaudhuri, Sourish, et al.. (2008). SIDE. 24–27. 1 indexed citations
12.
Rummel, Nikol, Armin Weinberger, Christof Wecker, et al.. (2008). New challenges in CSCL: towards adaptive script support. 338–345. 23 indexed citations
13.
Kumar, Rohit, et al.. (2007). Supporting students working together on math with social dialogue. 96–99. 14 indexed citations
14.
Joshi, Mahesh & Carolyn Penstein Rosé. (2007). Using transactivity in conversation for summarization of educational dialogue. 53–56. 14 indexed citations
15.
Kumar, Rohit, Carolyn Penstein Rosé, Yi‐Chia Wang, Mahesh Joshi, & Allen L. Robinson. (2007). Tutorial Dialogue as Adaptive Collaborative Learning Support. 383–390. 79 indexed citations
16.
Wang, Yi‐Chia, Mahesh Joshi, & Carolyn Penstein Rosé. (2007). A feature based approach to leveraging context for classifying newsgroup style discussion segments. 73–73. 9 indexed citations
17.
Wang, Yi‐Chia, Mahesh Joshi, Carolyn Penstein Rosé, et al.. (2007). Context Based Classification for Automatic Collaborative Learning Process Analysis. 662–664. 3 indexed citations
18.
Joshi, Mahesh, Serguei Pakhomov, Ted Pedersen, & Christopher G. Chute. (2006). A comparative study of supervised learning as applied to acronym expansion in clinical reports.. PubMed. 399–403. 38 indexed citations
19.
Joshi, Mahesh, Ted Pedersen, Richard Maclin, & Serguei Pakhomov. (2006). Kernel methods for word sense disambiguation and acronym expansion. 1879–1880. 4 indexed citations
20.
Joshi, Mahesh, Ted Pedersen, & Richard Maclin. (2005). A comparative study of support vector machines applied to the supervised word sense disambiguation problem in the medical domain. 3449–3468. 28 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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