Ojas Parekh

960 total citations
48 papers, 393 citations indexed

About

Ojas Parekh is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ojas Parekh has authored 48 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Ojas Parekh's work include Complexity and Algorithms in Graphs (22 papers), Advanced Graph Theory Research (17 papers) and Advanced Memory and Neural Computing (11 papers). Ojas Parekh is often cited by papers focused on Complexity and Algorithms in Graphs (22 papers), Advanced Graph Theory Research (17 papers) and Advanced Memory and Neural Computing (11 papers). Ojas Parekh collaborates with scholars based in United States, Germany and United Kingdom. Ojas Parekh's co-authors include James B. Aimone, Conrad D. James, Jochen Könemann, Danny Segev, William Severa, Sapan Agarwal, Matthew Marinella, Alexander H. Hsia, Erik P. DeBenedictis and Erik G. Boman and has published in prestigious journals such as Nature Communications, Neural Computation and Frontiers in Neuroscience.

In The Last Decade

Ojas Parekh

44 papers receiving 369 citations

Peers

Ojas Parekh
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 166
  • Computational Theory and Mathematics 149
  • Artificial Intelligence 110
  • Computer Networks and Communications 94
  • Cellular and Molecular Neuroscience 53
Replace Alexandros Kapsalis with:
Alexandros Kapsalis Greece
Erik P. DeBenedictis United States
Egon Wanke Germany
Valerii Y. Ostrovskii Russia
Weixia Xu China
Kota Ando Japan
D. G. Hoffman United States
Shinya Takamaeda-Yamazaki Japan
Fangyang Shen United States
Corneliu A. Marinov Romania
Alexandros Kapsalis Greece View profile →
Citations per field, relative to Ojas Parekh
Ojas Parekh · 1×
Citations per year, relative to Ojas Parekh
Ojas Parekh · 1×

Countries citing papers authored by Ojas Parekh

Since Specialization
Citations

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

Fields of papers citing papers by Ojas Parekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ojas Parekh

This figure shows the co-authorship network connecting the top 25 collaborators of Ojas Parekh. A scholar is included among the top collaborators of Ojas Parekh 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 Ojas Parekh. Ojas Parekh 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 3
2 9
3 1
4 4
5 7
6 0
7 13
8 12
9 5
10 72
11 11
12 0
13 38
14 1
15 5
16 10
17 4
18 31
19
Solving Symmetric Diagonally-Dominant Systems by Preconditioning
9
20 11

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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