Nada R. Sanders

5.4k total citations · 1 hit paper
82 papers, 3.6k citations indexed

About

Nada R. Sanders is a scholar working on Management Information Systems, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Nada R. Sanders has authored 82 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Management Information Systems, 23 papers in Management Science and Operations Research and 19 papers in Strategy and Management. Recurrent topics in Nada R. Sanders's work include Quality and Supply Management (22 papers), Forecasting Techniques and Applications (21 papers) and Big Data and Business Intelligence (17 papers). Nada R. Sanders is often cited by papers focused on Quality and Supply Management (22 papers), Forecasting Techniques and Applications (21 papers) and Big Data and Business Intelligence (17 papers). Nada R. Sanders collaborates with scholars based in United States, United Kingdom and Australia. Nada R. Sanders's co-authors include Robert Premus, Karl Manrodt, Ram Ganeshan, Larry P. Ritzman, Tonya Boone, Zach G. Zacharia, Nancy W. Nix, Chad W. Autry, Stephan M. Wagner and John D. Wood and has published in prestigious journals such as Journal of Operations Management, International Journal of Production Research and California Management Review.

In The Last Decade

Nada R. Sanders

81 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative AI: Opportunities, challenges, and research directions for supply chain resilience

2025 19 citations Tonya Boone, Behnam Fahimnia et al. Transportation Research Part E Logistics and Transportation Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nada R. Sanders United States	33	2.1k	1.7k	812	383	291	82	3.6k
Ronan McIvor United Kingdom	36	2.5k 1.2×	2.3k 1.4×	537 0.7×	427 1.1×	224 0.8×	89	3.9k
Matthew A. Waller United States	27	2.4k 1.2×	2.0k 1.2×	645 0.8×	553 1.4×	305 1.0×	75	3.6k
Paul Humphreys United Kingdom	39	2.3k 1.1×	2.8k 1.6×	908 1.1×	589 1.5×	261 0.9×	116	4.4k
Patrizia Garengo Italy	27	1.8k 0.8×	1.4k 0.8×	396 0.5×	334 0.9×	310 1.1×	51	3.3k
Chinho Lin Taiwan	35	1.7k 0.8×	2.1k 1.2×	662 0.8×	447 1.2×	210 0.7×	120	3.9k
Anand Nair United States	31	2.4k 1.2×	2.8k 1.7×	630 0.8×	490 1.3×	276 0.9×	76	4.1k
Nancy W. Nix United States	6	2.5k 1.2×	2.4k 1.4×	413 0.5×	431 1.1×	305 1.0×	7	3.7k
Carlo D. Smith United States	10	2.4k 1.2×	2.7k 1.6×	503 0.6×	730 1.9×	332 1.1×	18	4.1k
Marc Wouters Netherlands	27	1.8k 0.8×	1.1k 0.6×	488 0.6×	301 0.8×	184 0.6×	97	3.0k
James S. Keebler United States	6	2.1k 1.0×	2.1k 1.2×	405 0.5×	343 0.9×	280 1.0×	10	3.2k

Countries citing papers authored by Nada R. Sanders

Since Specialization

Citations

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

Fields of papers citing papers by Nada R. Sanders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nada R. Sanders. 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 Nada R. Sanders. The network helps show where Nada R. Sanders may publish in the future.

Co-authorship network of co-authors of Nada R. Sanders

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Boone, Tonya, Behnam Fahimnia, Ram Ganeshan, David M. Herold, & Nada R. Sanders. (2025). Generative AI: Opportunities, challenges, and research directions for supply chain resilience. Transportation Research Part E Logistics and Transportation Review. 199. 104135–104135. 19 indexed citations breakdown →

2.

Choi, Thomas Y., et al.. (2023). Just-in-Time for Supply Chains in Turbulent Times. SSRN Electronic Journal. 3 indexed citations

3.

Ambulkar, Saurabh, Peter M. Ralston, Mikaella Polyviou, & Nada R. Sanders. (2023). Frequent supply chain disruptions and firm performance: the moderating role of exploitation, exploration and supply chain ambidexterity. International Journal of Physical Distribution & Logistics Management. 53(10). 1261–1285. 12 indexed citations

4.

Browning, Tyson R., Maneesh Kumar, Nada R. Sanders, et al.. (2023). From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design. International Journal of Operations & Production Management. 43(12). 1841–1858. 43 indexed citations

5.

Browning, Tyson R., Maneesh Kumar, Nada R. Sanders, et al.. (2023). From Supply Chain Risk to Systemwide Disruptions: Research Opportunities in Forecasting, Risk Management, and Product Design. SSRN Electronic Journal. 1 indexed citations

6.

Sanders, Nada R. & John Wood. (2021). Combining Humans and Machines in an Emerging Form of Enterprise: the Humachine. RePEc: Research Papers in Economics. 28–35. 1 indexed citations

7.

Eroglu, Cuneyt & Nada R. Sanders. (2021). Effects of personality on the efficacy of judgmental adjustments of statistical forecasts. Management Decision. 60(3). 589–605. 10 indexed citations

8.

Sanders, Nada R., et al.. (2020). Dealing with "Deepfakes": How Synthetic Media Will Distort Reality, Corrupt Data, and Impact Forecasts. RePEc: Research Papers in Economics. 32–37. 2 indexed citations

9.

Sanders, Nada R. & Morgan Swink. (2019). Digital supply chain transformation : visualizing the possibilities. Supply chain management review. 11 indexed citations

10.

Ganeshan, Ram, et al.. (2018). How Big Data Could Challenge Planning Processes across the Supply Chain. RePEc: Research Papers in Economics. 19–24. 2 indexed citations

11.

Sanders, Nada R., Brian S. Fugate, & Zach G. Zacharia. (2016). Interdisciplinary Research inSCM: Through the Lens of the Behavioral Theory of the Firm. Journal of Business Logistics. 37(2). 107–112. 15 indexed citations

12.

Sanders, Nada R. & Ram Ganeshan. (2015). Special Issue of Production and Operations Management on “Big Data in Supply Chain Management”. Production and Operations Management. 24(5). 852–853. 1 indexed citations

13.

Sanders, Nada R. & Ram Ganeshan. (2015). Special Issue of Production and Operations Management on “Big Data in Supply Chain Management”. Production and Operations Management. 24(8). 1371–1372. 7 indexed citations

14.

Sanders, Nada R.. (2008). Comments on “Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning”. International Journal of Forecasting. 25(1). 24–26. 7 indexed citations

15.

Sanders, Nada R.. (2007). Pattern of information technology use: The impact on buyer–suppler coordination and performance. Journal of Operations Management. 26(3). 349–367. 246 indexed citations

16.

Sanders, Nada R.. (2007). An empirical study of the impact of e‐business technologies on organizational collaboration and performance. Journal of Operations Management. 25(6). 1332–1347. 300 indexed citations

17.

Premus, Robert & Nada R. Sanders. (2005). Differentiating Purchasing Practices of Firms Based on Information Technology Use. Academy of strategic management journal. 4. 9. 2 indexed citations

18.

Premus, Robert & Nada R. Sanders. (2003). A Framework for Strategic Sourcing. Academy of strategic management journal. 2. 49. 1 indexed citations

19.

Sanders, Nada R. & Karl Manrodt. (2003). Forecasting Software in Practice: Use, Satisfaction, and Performance. INFORMS Journal on Applied Analytics. 33(5). 90–93. 57 indexed citations

20.

Sanders, Nada R.. (1997). Management Forecasting: Survey Findings and Business Implications. Mid-American Journal of Business. 12(1). 35–40. 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.

Explore authors with similar magnitude of impact