Kazem Taghva

2.7k total citations · 2 hit papers
56 papers, 1.6k citations indexed

About

Kazem Taghva is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kazem Taghva has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 22 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kazem Taghva's work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (15 papers) and Topic Modeling (12 papers). Kazem Taghva is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (15 papers) and Topic Modeling (12 papers). Kazem Taghva collaborates with scholars based in United States, Canada and Slovenia. Kazem Taghva's co-authors include Garam Lee, Kate Zhong, Jorge Ramón Fonseca Cacho, Jeffrey L. Cummings, Julie Borsack, Jeffrey Coombs, Allen Condit, Mina Esmail Zadeh Nojoo Kambar, Thomas A. Nartker and W. Bruce Croft and has published in prestigious journals such as IEEE Access, Information Processing & Management and Theoretical Computer Science.

In The Last Decade

Kazem Taghva

50 papers receiving 1.5k citations

Hit Papers

Alzheimer's disease drug development pipeline: 2022 2021 2026 2022 2024 2022 2021 100 200 300 400

Peers

Kazem Taghva
Comparison fields: 5 of 134
  • Artificial Intelligence 670
  • Physiology 418
  • Molecular Biology 308
  • Information Systems 266
  • Computer Vision and Pattern Recognition 262
Replace Justin Bedő with:
Justin Bedő Australia
Nobuhisa Ueda Japan
Damon Wischik United Kingdom
Bill Yuchen Lin United States
Candong Li China
Yue Cui China
Douglas S. Kerr United States
Sachin Kulkarni India
Antonio Espinosa Spain
Xuezhong Zhou China
Justin Bedő Australia View profile →
Citations per field, relative to Kazem Taghva
Kazem Taghva · 1×
Citations per year, relative to Kazem Taghva
Kazem Taghva · 1×

Countries citing papers authored by Kazem Taghva

Since Specialization
Citations

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

Fields of papers citing papers by Kazem Taghva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazem Taghva

This figure shows the co-authorship network connecting the top 25 collaborators of Kazem Taghva. A scholar is included among the top collaborators of Kazem Taghva 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 Kazem Taghva. Kazem Taghva 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
# Work Indexed citations
1 0
2 2
3 1
4 7
5 1
6 9
7 1
8 4
9 3
10 15
11 186
12 16
13 1
14 8
15 13
16 80
17
The MANICURE document processing system
2
18 39
19 37
20
An Evaluation of Information Retrieval Accuracy with Simulated OCR Output
40

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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