Margaret E. Connell

2.0k citations
18 papers · 1.1k indexed · h-index 14

Margaret E. Connell

18 papers receiving 917 citations

Peers

Margaret E. Connell
Comparison fields: 5 of 55
  • Information Systems 636
  • Artificial Intelligence 717
  • Signal Processing 164
  • Computer Networks and Communications 213
  • Computer Vision and Pattern Recognition 110
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Citations per year

Countries citing papers authored by Margaret E. Connell

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Connell. 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 Margaret E. Connell. The network helps show where Margaret E. Connell may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Margaret E. Connell, 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 Margaret E. Connell Line = papers co-authored together Margaret E. Connell links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201119
2 200423
3
UMass at TDT 2004
200426
4 200440
5 20038
6 200337
7 2002274
8 20028
9 2001221
10
The Effects of Query-Based Sampling on Automatic Database Selection Algorithms
20006
11
INQUERY and TREC-9.
200066
12 200098
13 200050
14 199991
15 199947
16
Planning in the Context of an Intelligent Assistant
19911
17
Learning to control a dynamic physical system
198719
18 198733

About Margaret E. Connell

Margaret E. Connell is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computational Theory and Mathematics and Signal Processing, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Web Data Mining and Analysis (4 papers), Information Retrieval and Search Behavior (4 papers), Advanced Text Analysis Techniques (3 papers), Modeling and Simulation Systems (2 papers), Evolutionary Algorithms and Applications (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Information Systems (636 citations), Artificial Intelligence (717 citations), Signal Processing (164 citations), Computer Networks and Communications (213 citations) and Computer Vision and Pattern Recognition (110 citations). Margaret E. Connell has collaborated with scholars based in United States. Frequent co-authors include Jamie Callan, Leah S. Larkey, Lisa Ballesteros, Paul E. Utgoff, James C. French, Fangfang Feng, Allison L. Powell, Charles L. Viles, James Allan and Victor Lavrenko. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, ACM Transactions on Information Systems, Information Processing & Management, ACM SIGMOD Record and ACM Transactions on Asian Language Information Processing.

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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