Ashish Tiwari

7.9k citations
164 papers · 3.3k indexed · 2 hit papers · h-index 28

Ashish Tiwari

139 papers receiving 3.1k citations

Hit Papers

A Review on a Deep Learning Perspecti...3092010202620152020100200300

Peers

Ashish Tiwari
Comparison fields: 5 of 150
  • Software 641
  • Hardware and Architecture 453
  • Finance 669
  • Computational Theory and Mathematics 652
  • Neurology 302
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Citations per field
00.5×10×15×20×22.9×
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Citations per year

Countries citing papers authored by Ashish Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ashish Tiwari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashish Tiwari Line = papers co-authored together Ashish Tiwari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202416
3 20240
4 20240
5 20240
6 20240
7 20240
8 20231
9 20231
10
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models.
20174
11
Love Thy Neighbor: V-Formation as a Problem of Model Predictive Control.
20163
12
A DISTRIBUTIONAL GENERALIZED STIELTJES TRANSFORMATION
20151
13 201420
14 20133
15 20134
16
Model Checking of Hybrid Systems: From Reachability towards Stability
200637
17
Hybrid Systems: Computation and Control: 9th International Workshop, HSCC 2006, Santa Barbara, CA, USA, March 29-31, 2006, Proceedings (Lecture Notes in Computer Science)
20063
18 20067
19
Join algorithms for the theory of uninterpreted functions
20040
20
A Greedy Genetic Algorithm for the Quadratic Assignment Problem
19956

About Ashish Tiwari

Ashish Tiwari is a scholar working on Software, Finance and Computational Theory and Mathematics, having authored 164 papers that have together received 3.3k indexed citations. Recurring topics across this work include Formal Methods in Verification (41 papers), Financial Markets and Investment Strategies (39 papers), Logic, programming, and type systems (22 papers), Corporate Finance and Governance (17 papers), Software Testing and Debugging Techniques (17 papers), Software Engineering Research (10 papers), semigroups and automata theory (8 papers) and Monetary Policy and Economic Impact (7 papers). The work is most often cited by research in Software (641 citations), Hardware and Architecture (453 citations) and Finance (669 citations). Ashish Tiwari has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sumit Gulwani, Susmit Jha, Travis Sapp, Sanjit A. Seshia, Puneet Handa, James B. Orlin, Ravindra K. Ahuja, Robert A. Schwartz, O. G. Kakde and Gopal S. Tandel. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Formal Methods in System Design, Management Science and The Journal of Portfolio Management.

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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