Daniel Teichroew

1.4k total citations
42 papers, 913 citations indexed

About

Daniel Teichroew is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Daniel Teichroew has authored 42 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Daniel Teichroew's work include Advanced Database Systems and Queries (4 papers), Bayesian Methods and Mixture Models (3 papers) and Business Process Modeling and Analysis (3 papers). Daniel Teichroew is often cited by papers focused on Advanced Database Systems and Queries (4 papers), Bayesian Methods and Mixture Models (3 papers) and Business Process Modeling and Analysis (3 papers). Daniel Teichroew collaborates with scholars based in United States, Egypt and Brazil. Daniel Teichroew's co-authors include Alexander A. Robichek, Warren G. Bennis, J. M. Jones, Samir Hanash, A. S. Householder, Mary M. Connors, Richard A. Volz, J.K. Chaar, F. G. Foster and David Ungar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Econometrica.

In The Last Decade

Daniel Teichroew

38 papers receiving 720 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Teichroew United States 16 177 125 115 115 112 42 913
Albert Ando United States 16 138 0.8× 36 0.3× 83 0.7× 102 0.9× 377 3.4× 33 969
Marshall Hall United States 25 72 0.4× 177 1.4× 574 5.0× 91 0.8× 195 1.7× 59 2.0k
Paul A. Meyer United States 13 794 4.5× 51 0.4× 212 1.8× 266 2.3× 289 2.6× 50 2.0k
Roger Adelson United States 11 86 0.5× 68 0.5× 385 3.3× 711 6.2× 588 5.3× 39 1.8k
Ciamac C. Moallemi United States 20 415 2.3× 80 0.6× 155 1.3× 338 2.9× 364 3.3× 59 1.4k
S. Ramasubramanian India 8 81 0.5× 27 0.2× 88 0.8× 164 1.4× 99 0.9× 27 694
Shmuel Zamir Israel 21 106 0.6× 57 0.5× 292 2.5× 1.1k 9.6× 759 6.8× 63 2.1k
Meir Smorodinsky Israel 12 45 0.3× 72 0.6× 119 1.0× 481 4.2× 737 6.6× 35 1.5k
Quentin L. Burrell United Kingdom 22 16 0.1× 93 0.7× 237 2.1× 124 1.1× 228 2.0× 67 1.4k

Countries citing papers authored by Daniel Teichroew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teichroew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Teichroew

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Teichroew. A scholar is included among the top collaborators of Daniel Teichroew 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 Daniel Teichroew. Daniel Teichroew 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
1.
Hanash, Samir, et al.. (1999). Mining protein data from two-dimensional gels: Tools for systematic post-planned analyses. Electrophoresis. 20(4-5). 766–774. 13 indexed citations
2.
Hanash, Samir & Daniel Teichroew. (1998). Mining the human proteome: Experience with the human lymphoid protein database. Electrophoresis. 19(11). 2004–2009. 25 indexed citations
3.
Hanash, Samir, John R. Strahler, Daniel Teichroew, et al.. (1993). Data base analysis of protein expression patterns during T-cell ontogeny and activation.. Proceedings of the National Academy of Sciences. 90(8). 3314–3318. 33 indexed citations
4.
Chaar, J.K., Daniel Teichroew, & Richard A. Volz. (1993). Real-time software methodologies: Are they suitable for developing Manufacturing control software?. International Journal of Flexible Manufacturing Systems. 5(2). 95–128. 6 indexed citations
5.
Chaar, J.K., Daniel Teichroew, & Richard A. Volz. (1993). Developing manufacturing control software: A survey and critique. International Journal of Flexible Manufacturing Systems. 5(1). 53–88. 18 indexed citations
6.
Ali, Imran, et al.. (1991). Implementation of a two‐dimensional electrophoresis related laboratory information processing system: Database aspects. Electrophoresis. 12(10). 747–761. 12 indexed citations
7.
Nof, Shimon Y., Salah E. Elmaghraby, Tibor Vámos, et al.. (1989). Research Needs and Challenges in Application of Computer and Information Sciences for Industrial Engineering. IIE Transactions. 21(1). 50–65. 5 indexed citations
8.
Teichroew, Daniel, et al.. (1981). Applications of the Entity-Relationship Approach. 1–17. 4 indexed citations
9.
Osterweil, Leon J., et al.. (1981). Software environment research. ACM SIGSOFT Software Engineering Notes. 6(4). 15–25. 1 indexed citations
10.
Teichroew, Daniel, et al.. (1980). Computer-aided requirements engineering. 369–381. 1 indexed citations
11.
Teichroew, Daniel, et al.. (1979). Application of the Entity-Relationship Approach to Information Processing Systems Modelling. 15–38. 1 indexed citations
12.
Teichroew, Daniel, et al.. (1977). PSL/PSA: A Computer-Aided Technique for Structured Documentation and Analysis of Information Processing Systems. IEEE Transactions on Software Engineering. SE-3(1). 41–48. 27 indexed citations
13.
Teichroew, Daniel, et al.. (1976). A computer-aided technique for structured documentation. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 8(1). 7–9. 1 indexed citations
14.
Teichroew, Daniel. (1972). A survey of languages for stating requirements for computer-based information systems. 1203–1203. 31 indexed citations
15.
Teichroew, Daniel. (1965). A History of Distribution Sampling Prior to the Era of the Computer and its Relevance to Simulation. Journal of the American Statistical Association. 60(309). 27–49. 20 indexed citations
16.
Teichroew, Daniel, et al.. (1965). Mathematical Analysis of Rates of Return Under Certainty. Management Science. 11(3). 395–403. 82 indexed citations
17.
Teichroew, Daniel. (1964). An introduction to management science : deterministic models. John Wiley eBooks. 12 indexed citations
18.
Orr, Daniel, James Edwin Howell, & Daniel Teichroew. (1963). Mathematical Analysis for Business Decisions.. Journal of the American Statistical Association. 58(304). 1196–1196. 1 indexed citations
19.
Teichroew, Daniel, et al.. (1961). Automatic Data-Processing Systems: Principles and Procedures.. Journal of the American Statistical Association. 56(293). 206–206. 12 indexed citations
20.
Foster, F. G. & Daniel Teichroew. (1955). A Sampling Experiment on the Powers of the Records Tests for Trend in a Time Series. Journal of the Royal Statistical Society Series B (Statistical Methodology). 17(1). 115–121. 12 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.

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