Countries citing papers authored by David Eichmann
Since
Specialization
Citations
This map shows the geographic impact of David Eichmann'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 David Eichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eichmann more than expected).
This network shows the impact of papers produced by David Eichmann. 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 David Eichmann. The network helps show where David Eichmann may publish in the future.
Co-authorship network of co-authors of David Eichmann
This figure shows the co-authorship network connecting the top 25 collaborators of David Eichmann.
A scholar is included among the top collaborators of David Eichmann 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 David Eichmann. David Eichmann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
DeCook, Rhonda, et al.. (2010). Query-based Text Normalization Selection Models for Enhanced Retrieval Accuracy. North American Chapter of the Association for Computational Linguistics. 19–26.1 indexed citations
5.
Eichmann, David. (2006). Extraction of Document Structure for Genomics Documents.. Text REtrieval Conference.1 indexed citations
6.
Eichmann, David & Padmini Srinivasan. (2005). Experiments in Questions and Relationships at the University of Iowa.. Text REtrieval Conference.1 indexed citations
7.
Eichmann, David & Dong‐Jun Park. (2004). Boundary and Feature Recognition at the University of Iowa.. TRECVID.
8.
Eichmann, David, Yi Zhang, Shannon Bradshaw, et al.. (2004). Novelty, Question Answering and Genomics: The University of Iowa Response.. Text REtrieval Conference.14 indexed citations
9.
Eichmann, David & Dong‐Jun Park. (2003). Experiments in Boundary Recognition at the University of Iowa.. TRECVID.1 indexed citations
10.
Eichmann, David, et al.. (2003). Experiments in Novelty, Genes and Questions at the University of Iowa.. Text REtrieval Conference. 678–685.6 indexed citations
11.
Eichmann, David. (2003). Issues in Extraction and Categorization for Question Answering. 15(3). 107–115.2 indexed citations
12.
Eichmann, David & Padmini Srinivasan. (2002). Novel Results and Some Answers - The University of Iowa TREC 11 Results.. Text REtrieval Conference.10 indexed citations
13.
Eichmann, David, et al.. (1999). A cluster-based approach to tracking, detection and segmentation of broadcast news.7 indexed citations
14.
Eichmann, David, et al.. (1999). Filters, Webs and Answers: The University of Iowa TREC-8 Results.. Text REtrieval Conference.5 indexed citations
15.
Eichmann, David, Miguel E. Ruiz, & Padmini Srinivasan. (1998). Cluster-Based Adaptive and Batch Filtering.. Text REtrieval Conference. 211–220.6 indexed citations
Eichmann, David, et al.. (1992). Design of a lattice-based faceted classification system. NASA Technical Reports Server (NASA). 90–97.4 indexed citations
19.
Boetticher, Gary D., et al.. (1992). A neural net-based approach to software metrics. NASA Technical Reports Server (NASA). 271–274.22 indexed citations
20.
Eichmann, David. (1992). A hybrid approach to software repository retrieval: Blending faceted classification and type signatures. NASA Technical Reports Server (NASA).3 indexed citations
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.