Manish Mehta

35 papers receiving 1.1k citations

Peers

Manish Mehta
Comparison fields: 5 of 109
  • Artificial Intelligence 635
  • Information Systems 591
  • Computer Networks and Communications 370
  • Signal Processing 262
  • Computational Theory and Mathematics 198
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Countries citing papers authored by Manish Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Manish Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Mehta. A scholar is included among the top collaborators of Manish Mehta 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 Manish Mehta. Manish Mehta 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
#WorkIndexed citations
1 4
2 42
3
Intelligent narrative technologies II : papers from the AAAI Spring Symposium
1
4
Conversational Characters that Support Interactive Play and Learning for Children: Chapter 18
1
5 3
6
Drama Management Evaluation for Interactive Fiction Games
3
7
Towards runtime behavior adaptation for embodied characters
6
8 7
9
Towards Player Preference Modeling for Drama Management in Interactive Stories.
17
10
Artificial Intelligence for Adaptive Computer Games
18
11 4
12 3
13 69
14
SPRINT: A Scalable Parallel Classifier for Data Mining
498
15
Managing Intra-operator Parallelism in Parallel Database Systems
41
16
MDL-based decision tree pruning
112
17
Towards Automated Performance Tuning for Complex Workloads
73
18
Pointer-Based Join Techniques for Object-Oriented Databases
12
19
Dynamic Memory Allocation for Multiple-Query Workloads
44
20 12

About Manish Mehta

Manish Mehta is a scholar working on Artificial Intelligence, Human-Computer Interaction and Software, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (10 papers), Human Motion and Animation (8 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Information Systems (591 citations), Signal Processing (262 citations) and Artificial Intelligence (635 citations). Manish Mehta has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Rakesh Agrawal, John Shafer, David J. DeWitt, J. Rissanen, Steven P. Dow, Blair MacIntyre, Michael Mateas, Ashwin Ram, Santiago Ontañón and Andreas Arning. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Transportation Research Record Journal of the Transportation Research Board and The VLDB Journal.

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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