Darsana Josyula

36 papers receiving 217 citations

Peers

Darsana Josyula
Comparison fields: 5 of 60
  • Artificial Intelligence 162
  • Information Systems 42
  • Computer Networks and Communications 36
  • Electrical and Electronic Engineering 26
  • Computer Vision and Pattern Recognition 21
Replace Sebastiano Pizzutilo with:
Sebastiano Pizzutilo Italy
Qingxiu Dong China
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Citations per field
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Citations per year

Countries citing papers authored by Darsana Josyula

Since Specialization
Citations

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

Fields of papers citing papers by Darsana Josyula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darsana Josyula

This figure shows the co-authorship network connecting the top 25 collaborators of Darsana Josyula. A scholar is included among the top collaborators of Darsana Josyula 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 Darsana Josyula. Darsana Josyula 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 1
2 0
3 1
4 3
5 1
6 13
7 6
8 2
9 3
10
Emulating a Brain System.
1
11
Integrating Metacognition into Artificial Agents.
2
12
The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems
6
13 2
14
The role of metacognition in robust AI systems
5
15 13
16
Toward Domain-Neutral Human-Level Metacognition.
4
17
Towards domain-independent, task-oriented, conversational adequacy
4
18 5
19
The Use-Mention Distinction and its Importance to HCI
8
20
Representations of Dialogue State for Domain and Task Independent Meta-Dialogue
17

About Darsana Josyula

Darsana Josyula is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems and Management, having authored 40 papers that have together received 239 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (11 papers), Multi-Agent Systems and Negotiation (8 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Artificial Intelligence (162 citations), Information Systems (42 citations) and Software (7 citations). Darsana Josyula has collaborated with scholars based in United States, Colombia and Saudi Arabia. Frequent co-authors include Jovani Alberto Jiménez Builes, Michael L. Anderson, Michael T. Cox, Yoshi Okamoto, Donald Perlis, Shomir Wilson, Tim Oates, David Traum, Claude Turner and Wikum Dinalankara. Their work appears in journals such as AI Magazine, Journal of Magnetic Resonance Series B and International Journal of Cognitive Informatics and Natural Intelligence.

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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