Larry Harris

1.2k citations
31 papers · 708 indexed · h-index 12
Topics
AI-based Problem Solving and Planning (5 papers)Natural Language Processing Techniques (5 papers)Topic Modeling (3 papers)

In The Last Decade

Larry Harris

29 papers receiving 627 citations

Peers

Larry Harris
Comparison fields: 5 of 58
  • Finance 410
  • Economics and Econometrics 299
  • Accounting 178
  • Artificial Intelligence 156
  • Management Science and Operations Research 135
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Countries citing papers authored by Larry Harris

Since Specialization
Citations

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

Fields of papers citing papers by Larry Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larry Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Larry Harris. A scholar is included among the top collaborators of Larry Harris 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 Larry Harris. Larry Harris 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 11
2 11
3 7
4
B2B Marketers Integrate Precision Search to Boost Profitabilityand Increase Satisfaction Across the eCommerce Value Chain
1
5
Trading and Exchanges: Market Microstructure for Practitioners
338
6
User interfaces for inference-based programs
1
7 2
8
The heuristic search and the game of chess. A study of quiescence, sacrifices and plan oriented play
1
9
Natural languages
10
10
Artificial Intelligence Enters the Marketplace
2
11 22
12
Natural Language Data Base Query.
0
13
Experience with robot in 12 commercial, natural language data base query applications
17
14
ROBOT: a high performance natural language data base query system
2
15
Natural Language Data Base Query: Using the Data Base Itself as the Definition of World Knowledge and as an Extension of the Dictionary.
3
16 5
17 11
18 45
19 7
20
A model for adaptive problem-solving applied to natural-language acquisition
12

About Larry Harris

Larry Harris is a scholar working on Artificial Intelligence, Finance and Management Information Systems, having authored 31 papers that have together received 708 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Finance (410 citations), Accounting (178 citations) and Management Science and Operations Research (135 citations). Larry Harris has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Vineer Bhansali, Albert S. Kyle, Erik R. Sirri, Dwight B. Davis, Stephen M. Schaefer, John Gunn, Mark Kritzman, Stephen W. Smith, Robert D. Arnott and Joanne M. Hill. Their work appears in journals such as Artificial Intelligence, Financial Analysts Journal and AI Magazine.

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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