Daniel L. Schmoldt

46 papers and 878 indexed citations i.

About

Daniel L. Schmoldt is a scholar working on Industrial and Manufacturing Engineering, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Daniel L. Schmoldt has authored 46 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 12 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Daniel L. Schmoldt’s work include Industrial Vision Systems and Defect Detection (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Wood and Agarwood Research (7 papers). Daniel L. Schmoldt is often cited by papers focused on Industrial Vision Systems and Defect Detection (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Wood and Agarwood Research (7 papers). Daniel L. Schmoldt collaborates with scholars based in United States, Australia and China. Daniel L. Schmoldt's co-authors include David L. Peterson, A. Lynn Abbott, David G. Silsbee, Randolph H. Wynne, Wei Gao, James R. Slusser, Xin‐Zhong Liang, Pei Li, Philip A. Araman and Chao Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Forest Ecology and Management and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Daniel L. Schmoldt i

Fields of papers citing papers by Daniel L. Schmoldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel L. Schmoldt

Since Specialization
Citations

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

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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