L.S. Goodenday

649 total citations
21 papers, 427 citations indexed

About

L.S. Goodenday is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, L.S. Goodenday has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in L.S. Goodenday's work include Rough Sets and Fuzzy Logic (9 papers), Cardiac Imaging and Diagnostics (5 papers) and Neural Networks and Applications (4 papers). L.S. Goodenday is often cited by papers focused on Rough Sets and Fuzzy Logic (9 papers), Cardiac Imaging and Diagnostics (5 papers) and Neural Networks and Applications (4 papers). L.S. Goodenday collaborates with scholars based in United States and Poland. L.S. Goodenday's co-authors include Krzysztof J. Cios, Lukasz Kurgan, Marek R. Ogiela, Ryszard Tadeusiewicz, Richard F. Leighton, William A. Yasnoff, Gary J. Muswick, Gilbert S. Gordan, Ellen Brown and H. Hugh Fudenberg and has published in prestigious journals such as Blood, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

L.S. Goodenday

21 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L.S. Goodenday United States	9	177	116	86	48	48	21	427
Mohammad Hossein Zangooei Iran	10	163 0.9×	47 0.4×	44 0.5×	160 3.3×	42 0.9×	12	412
Manuel Gomes Portugal	7	161 0.9×	33 0.3×	54 0.6×	71 1.5×	23 0.5×	8	395
Cheng Chun Lee Taiwan	8	136 0.8×	22 0.2×	89 1.0×	38 0.8×	61 1.3×	19	335
Rod Hose United Kingdom	12	78 0.4×	193 1.7×	97 1.1×	95 2.0×	33 0.7×	24	599
Seral Şahan Türkiye	7	310 1.8×	64 0.6×	53 0.6×	210 4.4×	72 1.5×	8	509
Gamage Upeksha Ganegoda Sri Lanka	10	104 0.6×	46 0.4×	35 0.4×	62 1.3×	18 0.4×	43	493
Abdelmgeid A. Ali Egypt	11	266 1.5×	38 0.3×	85 1.0×	132 2.8×	30 0.6×	27	450
Achim Ibenthal Ethiopia	6	168 0.9×	15 0.1×	116 1.3×	57 1.2×	47 1.0×	9	342
Wojciech Książek Poland	8	208 1.2×	65 0.6×	120 1.4×	203 4.2×	40 0.8×	11	483
Wenqi Shi United States	15	225 1.3×	41 0.4×	340 4.0×	38 0.8×	85 1.8×	79	954

Countries citing papers authored by L.S. Goodenday

Since Specialization

Citations

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

Fields of papers citing papers by L.S. Goodenday

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.S. Goodenday. 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 L.S. Goodenday. The network helps show where L.S. Goodenday may publish in the future.

Co-authorship network of co-authors of L.S. Goodenday

This figure shows the co-authorship network connecting the top 25 collaborators of L.S. Goodenday. A scholar is included among the top collaborators of L.S. Goodenday 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 L.S. Goodenday. L.S. Goodenday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cios, Krzysztof J., et al.. (2003). Neural networks in detection of coronary artery disease. ii. 33–37. 1 indexed citations

Cios, Krzysztof J., et al.. (2003). Representing uncertainties in a diagnostic expert system for coronary arterial stenosis. 193–196. 1 indexed citations

Goodenday, L.S., et al.. (2002). Bayesian learning for cardiac SPECT image interpretation. Artificial Intelligence in Medicine. 26(1-2). 109–143. 21 indexed citations

Cios, Krzysztof J., L.S. Goodenday, Kushal Shah, & Gürsel Serpen. (2002). A novel algorithm for classification of SPECT images of a human heart. 1–5. 10 indexed citations

Cios, Krzysztof J., et al.. (2002). Internet-based system for diagnosis of coronary artery disease. 45–48. 1 indexed citations

Kurgan, Lukasz, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, & L.S. Goodenday. (2001). Knowledge discovery approach to automated cardiac SPECT diagnosis. Artificial Intelligence in Medicine. 23(2). 149–169. 171 indexed citations

Cios, Krzysztof J., et al.. (2000). Issues in automating cardiac SPECT diagnosis. IEEE Engineering in Medicine and Biology Magazine. 19(4). 78–88. 14 indexed citations

Goodenday, L.S., et al.. (1996). A neuro-fuzzy algorithm for diagnosis of coronary artery stenosis. Computers in Biology and Medicine. 26(2). 97–111. 8 indexed citations

Cios, Krzysztof J., et al.. (1994). Hybrid intelligence system for diagnosing coronary stenosis. Combining fuzzy generalized operators with decision rules generated by machine learning algorithms. IEEE Engineering in Medicine and Biology Magazine. 13(5). 723–729. 11 indexed citations

10.

Cios, Krzysztof J., et al.. (1993). Generation of Diagnostic Rules via Inductive Machine Learning. Kybernetes. 22(5). 44–56. 2 indexed citations

11.

Cios, Krzysztof J., Ik‐Soo Shin, & L.S. Goodenday. (1991). Using fuzzy sets to diagnose coronary artery stenosis. Computer. 24(3). 57–63. 21 indexed citations

12.

Cios, Krzysztof J., et al.. (1990). An expert system for diagnosis of coronary artery stenosis based on ²⁰¹TI scintigrams using the Dempster-Shafer theory of evidence. Computer applications in the biosciences. 6(4). 333–342. 7 indexed citations

13.

Cios, Krzysztof J., L.S. Goodenday, & Danny Wedding. (1989). A Bayesian approach for dealing with uncertainties in detection of coronary artery stenosis using a knowledge-based system. IEEE Engineering in Medicine and Biology Magazine. 8(4). 53–58. 6 indexed citations

14.

Cios, Krzysztof J., et al.. (1988). Determination of predominant coronary arterial stenosis by a knowledge based system. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 26. 1398–1399 vol.3. 1 indexed citations

15.

Goodenday, L.S., et al.. (1987). Alterations in left ventricular diastolic function with doxorubicin therapy. Journal of the American College of Cardiology. 9(1). 184–188. 99 indexed citations

16.

Somani, Pitambar, Peter N. Temesy‐Armos, Richard F. Leighton, L.S. Goodenday, & Theodore D. Fraker. (1984). Hyponatremia in patients treated with lorcainide, a new antiarrhythmic drug. American Heart Journal. 108(6). 1443–1448. 5 indexed citations

17.

Cockrell, James L., et al.. (1980). Exercise ejection fraction diminishes after recovery in postoperative aortocoronary bypass patients. The American Journal of Cardiology. 45(2). 420–420. 1 indexed citations

18.

Goodenday, L.S. & Gilbert S. Gordan. (1971). No Risk from Vitamin D in Pregnancy. Annals of Internal Medicine. 75(5). 807–808. 14 indexed citations

19.

Brown, Ellen, et al.. (1970). Waldenstrom’s Macroglobulinemia: Correlation Between Expanded Plasma Volume and Increased Serum Viscosity. Blood. 35(3). 394–408. 29 indexed citations

20.

Goodenday, L.S., et al.. (1968). Movie filming of patients and patientsʼ records for teaching and clinical use. Academic Medicine. 43(7). 859–60. 1 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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