Lawrence J. Henschen

1.3k citations
56 papers · 565 indexed · h-index 11

Lawrence J. Henschen

43 papers receiving 477 citations

Peers

Lawrence J. Henschen
Comparison fields: 5 of 50
  • Computer Networks and Communications 321
  • Artificial Intelligence 444
  • Signal Processing 144
  • Computational Theory and Mathematics 160
  • Software 21
Replace Alan M. Frisch with:
Alan M. Frisch United Kingdom
Till Mossakowski Germany
Paul F. Dietz United States
Ian Pratt‐Hartmann United Kingdom
Robert Schrag United States
Eric Mays United States
Stefano Crespi-Reghizzi Italy
Hans Tompits Austria
Michael Thielscher Australia
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Lawrence J. Henschen relative to Alan M. Frisch United Kingdom Alan M. Frisch's profile →
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Citations per year

Countries citing papers authored by Lawrence J. Henschen

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence J. Henschen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence J. Henschen. 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 Lawrence J. Henschen. The network helps show where Lawrence J. Henschen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lawrence J. Henschen, 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 Lawrence J. Henschen Line = papers co-authored together Lawrence J. Henschen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20021
2
Semantic query reformulation in object-oriented databases
19961
3 19931
4 19929
5
Evaluation of Extended Recursive Queries in Deductive Databases
19911
6
Query-Independent Compilation of Linear Recursions.
19903
7
Multi-dimensional heuristic searching
19890
8 198933
9
Answering Linear Recursive Queries in Cyclic Databases.
19887
10 19861
11
What is automated theorem proving
19852
12
A new hyperparamodulation strategy for the equality relation
19852
13 19853
14 198417
15
Semantic paramodulation for Horn sets
19835
16 19837
17
Application of automatic transformations to program verification
19812
18
Performing inferences over recursive data bases
198012
19
Semantic resolution for horn sets
19750
20
A Resolution Style Proof Procedure for Higher-Order Logic
19711

About Lawrence J. Henschen

Lawrence J. Henschen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 56 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (28 papers), Logic, Reasoning, and Knowledge (27 papers), Logic, programming, and type systems (19 papers), Data Management and Algorithms (14 papers), Semantic Web and Ontologies (13 papers), Formal Methods in Verification (13 papers), Distributed systems and fault tolerance (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (321 citations), Artificial Intelligence (444 citations) and Signal Processing (144 citations). Lawrence J. Henschen has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Shamim A. Naqvi, L. Wos, William W. McCune, Robert Veroff, Jiawei Han, S. Winker, Brian T. Smith, Ghassan Z. Qadah, James Lu and E. K. Park. Their work appears in journals such as IEEE Transactions on Software Engineering, Artificial Intelligence and Journal of the ACM.

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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